Sotabase

Career

· Postdoctoral Researcher, University of Technology Sydney2024–
· PhD Student, ETH Zurich2022–
· Software Engineer, Samsung AI Center Moscow2018–2022
· M.Sc., Data Science, Skolkovo Institute of Science and Technology2017–2018
· B.Sc., Software Engineering, Higher School of Economics (HSE) Moscow2013–2017

Publications (23)

Neural Head Reenactment with Latent Pose Descriptors
Computer Vision and Pattern Recognition · 2020
146
cited
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation
Computer Vision and Pattern Recognition · 2019
105
cited
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Computer Vision and Pattern Recognition · 2022
94
cited
StylePeople: A Generative Model of Fullbody Human Avatars
Computer Vision and Pattern Recognition · 2021
83
cited
4D-DRESS: A 4D Dataset of Real-World Human Clothing with Semantic Annotations
Computer Vision and Pattern Recognition · 2024
43
cited
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
Transportation Research Part C: Emerging Technologies · 2022
39
cited
Coordinate-based Texture Inpainting for Pose-Guided Image Generation
arXiv.org · 2018
22
cited
Gaussian Garments: Reconstructing Simulation-Ready Clothing with Photorealistic Appearance from Multi-View Video
International Conference on 3D Vision · 2024
22
cited
ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
International Conference on Computer Graphics and Interactive Techniques · 2024
20
cited
Traffic Accident Risk Forecasting using Contextual Vision Transformers
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) · 2022
14
cited
Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning
IEEE transactions on intelligent transportation systems (Print) · 2024
13
cited
Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification
International Journal of Intelligent Transportation Systems Research · 2024
11
cited
How will electric vehicles affect traffic congestion and energy consumption: an integrated modelling approach
International Conference on Intelligent Transportation Systems · 2021
9
cited
IncidentResponseGPT: Generating Traffic Incident Response Plans with Generative Artificial Intelligence
arXiv.org · 2024
8
cited
Traffic incident duration prediction via a deep learning framework for text description encoding
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) · 2022
8
cited
Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) · 2023
5
cited
Traffic Incident Duration Prediction: A Systematic Review of Techniques
Journal of Advanced Transportation · 2024
4
cited
Predicting the Duration of Traffic Incidents for Sydney Greater Metropolitan Area using Machine Learning Methods
International Journal of Intelligent Transportation Systems Research · 2024
3
cited
Anomaly Detection Using Adaptive Suppression
Procedia Computer Science · 2019
Automated Traffic Incident Response Plans using Generative Artificial Intelligence: Part 1 - Building the Incident Response Benchmark
arXiv.org · 2025
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Artur Grigorev | Researcher Profile | Sotabase | Sotabase